Services

Legacy migration and AI services

Three service lines with the same discipline: understand the system first, change it in small steps, and prove each step before taking the next. Every engagement starts with an audit you can stop after.

01

Legacy system migration

Moving revenue-critical legacy systems to modern stacks with zero downtime, no data loss, and a rollback path at every step.

  1. Migration risk audit

    A dependency and data-flow map, failure-mode analysis, and a migration plan with an honest cost and timeline.

  2. Cutover execution

    Strangler-fig or dual-write migration, data verified before traffic moves, and a rollback path rehearsed ahead of cutover day.

  3. Post-cutover retainer

    Monitoring through the first real load cycles, then safe decommissioning of the old system.

Read the migration methodology →
02

AI-assisted engineering

Agentic software engineering for teams that want the speed of AI coding tools without the regressions. We set up coding agents inside your delivery process, or use them to deliver work for you, and hold their output to the same standard as any other change.

  1. Workflow audit

    Where agents would help your team, where they would add risk, and what your codebase and CI need first.

  2. Guarded pilot

    Agents working on a real slice of your backlog, behind code review, tests, and clear permission boundaries.

  3. Rollout and handover

    Playbooks, tooling configuration, and team training, so the practice keeps working after we leave.

How we apply the same discipline to AI →
03

AI enablement

Helping organizations adopt AI on purpose rather than by accident: practical use cases, clear policies, and people who know how to use the tools well.

  1. AI readiness audit

    Current usage, data access, security and compliance constraints, and the use cases worth pursuing first.

  2. Pilot use cases

    Two or three scoped pilots with measurable outcomes, run with the teams who will own them.

  3. Enablement program

    Usage policies, tool selection, and hands-on training for engineering and non-engineering teams.

Talk through an AI readiness audit →

Start with an audit

It's the lowest-risk way to find out what you're actually dealing with.

Book an audit